Inhalt des Dokuments
Electric Vehicles (FEV) promise clear benefits to society. At the same
time, the engineering of FEV introduces significant new challenges.
FEV will be highly integrated and increasingly dependent on software
and electronics. FEV systems will have more authority, share common
components and rely less on mechanical backups. New complex power
management and optimization algorithms are needed to ensure high
performance, range of travel and low energy consumption.
We argue that the challenges faced in the engineering of FEV are already partly met by EAST-ADL2, an emerging automotive architecture description language (ADL) compliant with AUTOSAR, and that EAST-ADL2 is the appropriate vehicle for fully meeting these challenges. MAENAD will extend EAST-ADL2 with advanced capabilities to facilitate development of dependable, efficient and affordable FEV. The project will achieve language and tool support for:
- Support for the ISO 26262 automotive safety standard, including a novel approach for automatic allocation of safety requirements to components of an evolving architecture
- Effective model-based prediction of quality attributes of FEV such as the dependability and performance, via use of advanced, scalable, automated techniques.
- Automated exploration of potentially huge design spaces to achieve better or optimal trade-offs among dependability, performance and cost.
The scope of the modeling language
and analysis focuses on the system structure and dynamics, in terms of
physical, computational and communication components, their
composition and interactions. To achieve those objectives, MAENAD will
exploit and further develop the present state of the art in
model-based design, assessment and optimization technologies. In
addition, MAENAD will propose an overall design methodology for FEV
and evaluate its application via a realistic case study on an
innovative FEV system which represents a current design challenge.
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